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A researcher wants to determine whether or not a 5-week crash diet is effective over a long period of time. A random sample of 15five-week crash dieters is selected. Each person’s weight (in pounds) is recorded before starting the diet and 1year after it is concluded. Do the data provide convincing evidence that 5-week crash dieters weigh less, on average, 1year after finishing the diet?

Short Answer

Expert verified

The diet does not have a long-term effect.

Step by step solution

01

Step 1 -  Given information:

We have been given that:

Data of a 5-week crash diet.

02

Step 2 -  Explanation:

H0 is being tested: μb=μaversus H1:μb=μa, where b is the mean of the before weights and an is the mean of the after weights The following table shows the changes between before and after weights: n=15 sample size,m=54/15=3

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Most popular questions from this chapter

Researchers want to evaluate the effect of a natural product on reducing blood pressure. They plan to carry out a randomized experiment to compare the mean reduction in blood pressure of a treatment (natural product) group and a placebo group. Then they will use the data to perform a test of H0:μTμP=0versus Ha:μTμP>0, where μT= the true mean reduction in blood pressure when taking the natural product and μP = the true mean reduction in blood pressure when taking a placebo for subjects like the ones in the experiment. The researchers would like to detect whether the natural product reduces blood pressure by at least 7points more, on average, than the placebo. If groups of size 50are used in the experiment, a twosample t test using α=0.01will have a power of 80%to detect a 7-point difference in mean blood pressure reduction. If the researchers want to be able to detect a 5-point difference instead, then the power of the test

a. would be less than 80%.

b. would be greater than 80%.

c. would still be 80%.

d. could be either less than or greater than 80%.

e. would vary depending on the standard deviation of the data

Children make choices Refer to Exercise 15.

a. Explain why the sample results give some evidence for the alternative hypothesis.

b. Calculate the standardized test statistic and P-value.

c. What conclusion would you make?

A large university is considering the establishment of a schoolwide recycling program. To gauge interest in the program by means of a questionnaire, the university takes separate random samples of undergraduate students, graduate students, faculty, and staff. This is an example of what type of sampling design?

a. Simple random sample

b. Stratified random sample

c. Convenience sample

d. Cluster sample

e. Randomized block design

Suppose the null and alternative hypothesis for a significance test are defined as

H0: μ=403051526=0.200=20.0%H0 : μ=40

Ha: μ<403051526=0.200=20.0%Ha : μ<40

Which of the following specific values for Ha will give the highest power? a. μ=383051526=0.200=20.0%μ=38

b. μ=393051526=0.200=20.0%μ=39

c. μ=413051526=0.200=20.0%μ=41

d. μ=423051526=0.200=20.0%μ=42

e. μ=43 3051526=0.200=20.0%μ=43

A 96% confidence interval for the proportion of the labor force that is unemployed in a certain city is (0.07,0.10). Which of the following statements is true?

a. The probability is 0.96 that between 7%and10% of the labor force is unemployed.

b. About 96% of the intervals constructed by this method will contain the true proportion of the labor force that is unemployed in the city.

c. In repeated samples of the same size, there is a 96% chance that the sample proportion will fall between 0.07and0.10.

d. The true rate of unemployment in the labor force lies within this interval 96% of the time.

e. Between 7%and10%of the labor force is unemployed 96% of the time.

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